Optimizing Explanations by Network Canonization and Hyperparameter Search. - Frederik Pahde; Galip Ümit Yolcu; Alexander Binder; Wojciech Samek; Sebastian Lapuschkin (CVPR Workshops, 2023)

Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization. - Rohan Reddy Mekala; Frederik Pahde; Simon Baur; Sneha Chandrashekar; Madeline Diep; Markus Wenzel 002; Eric L. Wisotzky; Galip Ümit Yolcu; Sebastian Lapuschkin; Jackie Ma; Peter Eisert; Mikael Lindvall; et al. (ECCV Workshops (20), 2024)

DualView: Data Attribution from the Dual Perspective. - Galip Ümit Yolcu; Thomas Wiegand 001; Wojciech Samek; Sebastian Lapuschkin (CoRR, 2024)

Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond. - Dilyara Bareeva; Galip Ümit Yolcu; Anna Hedström; Niklas Schmolenski; Thomas Wiegand 001; Wojciech Samek; Sebastian Lapuschkin (CoRR, 2024)

Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks. - Jonas R. Naujoks; Aleksander Krasowski; Moritz Weckbecker; Galip Ümit Yolcu; Thomas Wiegand 001; Sebastian Lapuschkin; Wojciech Samek; René P. Klausen (CoRR, 2025)